Agentic QA testing
Agentic QA means AI agents take on the repetitive testing work: they watch code changes, decide what needs testing, generate and run tests, and sort the failures.
At BetterQA the agents work with human validation: a QA engineer reviews what they report before anything is called a pass.
An agentic pipeline, in short
- Detect the changeEvery commit and pull request
- Generate and run testsFor the code that changed
- Triage failuresReal bug, flaky test or environment
- Human reviewA QA engineer confirms the result
From test automation to autonomous testing
Traditional test automation needs people to write scripts, maintain them, read the results and decide what to test next. Agentic QA inverts this: AI agents observe your codebase, understand the changes, generate suitable tests, run them, interpret failures and report what matters.
The change is in who does the routine work. Your QA team shifts from running tests to governing quality.
| Traditional automation | Agentic QA | |
|---|---|---|
| Writing tests | A person writes every test | Agents generate tests from code changes |
| Choosing tests | A fixed suite runs every time | Tests are selected by what changed |
| Reading results | Someone interprets every failure | Failures are triaged and grouped first |
| Coverage | Gaps go unnoticed | Coverage is monitored with each change |
The 7-step agentic pipeline
Code change detection
The agent watches the repository for commits, pull requests and deployments, and works out what changed.
Impact analysis
Maps the change to the features, APIs and user flows it affects, and decides what needs testing first.
Test generation
Generates tests for the changed code, updates existing ones and flags tests that no longer apply.
Parallel execution
Runs tests across browsers, devices and environments at the same time.
Intelligent triage
Sorts failures into real bugs, flaky tests and environment issues, and groups related failures.
Smart routing
Sends each bug to the right team or person based on code ownership, as a ticket in your tracker.
Continuous learning
Uses feedback on which tests were useful and which failures were false alarms to improve the next run.
Want to see it on your code?
Tell us about one repository and its pipeline, and we will show you where to start. Talk to us
BetterQA's agentic QA tools
We build agentic QA on our own tools.
BugBoard
Our test management tool. It generates test cases from requirements and user stories, scores release readiness, and creates bug reports from screenshots. Its MCP server connects it to Claude and other AI agents.
- Test cases from a PRD or user stories
- Bug reports from screenshots
- Release readiness checks
- MCP server for agent integration
AI Security Toolkit
Security scanning with several AI agents working together: SAST, SCA, DAST and secrets detection, with findings shared between agents so attack chains are visible.
- Multi-agent security scanning
- Attack chain analysis
- Suggested remediation code
- OWASP Top 10 coverage
Read more on BugBoard and the AI Security Toolkit.
Why companies switch to agentic QA
Ship without waiting for QA
Tests run on every commit, so the pipeline checks the code as it is written instead of in a queue before release.
Coverage that grows with the code
New code gets tests as it is written, so coverage debt does not pile up in the corners of your codebase.
QA team does QA, not maintenance
Your QA engineers spend their time on exploratory testing, edge cases and quality strategy, not on fixing broken scripts and test data.
Explore more: test automation, performance testing, mobile app testing and API testing.
The agentic pipeline, recorded live
A screenshot of a 500 error on a real app goes in. BugBoard writes up the bug and designs the test cases, Flows runs them against the app, and one test catches a real bug, filed with screenshots. Recorded live, 7:56.
How BetterQA does agentic QA
We connect the agents to your repository, CI/CD and issue tracker, and our engineers review what they produce. You get the speed of agents with a person accountable for every result.
Engineers who test for a living
50+ QA engineers, working since 2018. Our engineers set up the agents, review every result they report, and tell you what it means for your release.
Bugs you can act on
Every defect we find is written up in BugBoard, our own test management tool, or in your tracker, with steps to reproduce, the expected and actual result, and the environment.
A certified process
ISO 9001 for quality management and ISO 27001:2022 for information security. See our certifications.
How an engagement works
- €20-45 per hour
- First month is a trial
- First two weeks complimentary if you are not happy
- 30 days notice after that
Agentic QA: common questions
What is agentic QA?
Software testing where AI agents plan, generate, run and triage tests on their own as code changes, with QA engineers reviewing the results and owning quality decisions.
How is this different from Copilot for tests?
Copilot suggests code as you type. Agentic QA works on its own: it monitors your repository, decides what needs testing, generates and runs tests, and reports results. You do not prompt it.
Do we need to rewrite our existing tests?
No. Agentic QA works alongside your existing suite in Cypress, Playwright, Selenium or another framework. Over time it adds new tests and points out redundant ones.
What about flaky tests?
Triage separates flaky tests from real failures using patterns such as intermittent failures, environment-specific failures and timing issues. Flaky tests are quarantined with a fix suggested, and an engineer reviews them.
How do you handle sensitive data in tests?
Generated test data is synthetic: it matches your schema without containing real personal data. Where a test needs specific data, we work with your existing test data setup. We are ISO 27001:2022 certified.
What's the setup time?
Setup means connecting to your repository, CI/CD and issue tracker. How long that takes depends on your pipeline, and we agree a timeline on the first call before any work starts.
Get your agentic QA assessment
We will look at your current testing setup and show you where agentic testing would have the biggest impact, and where it would not.